#Transformer architecture
131 related articles
Tutorials
Decoding LLM Naming Conventions: Param…
·3 min
Decoding LLM Naming Conventions: Parameter Counts, Quantization Formats & VRAM Requirements Quick Reference
Decode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.
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Deep Dives
Getting Started with RAG: A Complete G…
·3 min
Getting Started with RAG: A Complete Guide from LLM Hallucinations to Retrieval-Augmented Generation
A deep dive into RAG (Retrieval-Augmented Generation) technology, covering LLM hallucinations, data staleness, and limited expertise, plus RAG workflows, core components, and LangChain learning paths.
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Tutorials
Efficient PyTorch Learning: A Source C…
·3 min
Efficient PyTorch Learning: A Source Code-Driven Methodology
A proven PyTorch learning method: spend 2-3 days on basics, then advance rapidly by reading U-Net and ViT source code line by line. Master PyTorch through source code-driven learning.
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Tech Frontiers·2 min
Gemini Omni Video Generation: One-Click Synthesis from Mixed Text, Image, and Video Inputs
Detailed guide to Google Gemini Omni's multimodal video generation: mix text, images, and video inputs to synthesize coherent 10-second videos with one click.
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Industry Insights
Wu Xiaobo Predicts China's 6th Entrepr…
·1 min
Wu Xiaobo Predicts China's 6th Entrepreneurial Window in 2026: The Era of Super Individuals and No-Code Startups Has Arrived
Wu Xiaobo predicts 2026 as China's 6th entrepreneurial window. No-code AI tools like Baidu Miaoda enable anyone to build apps and monetize ideas without coding.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tech Frontiers·3 min
10 Years of AlphaGo: Hassabis Returns to Korea to Reunite with Lee Sedol — How AI Transformed the Game of Go
On AlphaGo's 10th anniversary, Hassabis reunites with Lee Sedol in Korea. A look at how the 2016 match transformed Go theory, training, and AI's path to general intelligence.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Tutorials·4 min
Coze AI Agent Tutorial: A Complete Guide to Building AI Agents from Scratch
Complete guide to building AI agents on Coze from scratch, covering LLM configuration, prompt writing, plugin integration, knowledge base setup, and memory systems.
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Product Reviews·3 min
ChuanhuChatGPT: A Comprehensive Analysis of the 15K-Star Open-Source Multi-Model Chat Interface
Deep dive into ChuanhuChatGPT, a 15K-star open-source project with multi-model access, Agent support, RAG file Q&A, GPT fine-tuning, and web search.
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